Introduction Supervised toothbrushing programmes (STPs) in nurseries and schools are effective at reducing inequalities in caries when targeted to areas of dental disease. Recent changes to government education and health policy have increased interest in STPs in England. This study aimed to establish the current level of provision of STPs in England, describe changes over time, understand associations with predictor variables, and summarise key barriers and facilitators to their implementation.
View Article and Find Full Text PDFMetals and metalloids including cobalt, gadolinium, lutetium and germanium are used in numerous medical applications spanning diverse specialities including orthopedics, radiology, oncology and healthcare artificial intelligence. These medical advances include cobalt containing orthopedic implants, gadolinium-based contrast agents, lutetium-containing cancer drugs and germanium-based semiconductors. While these metal and metalloid-based solutions do improve patient care, there is a heavy side to how the elements needed for these solutions are mined, extracted and discarded.
View Article and Find Full Text PDFObjectives: Explore the presence, or absence, of virulence genes and the phylogeny of a multi-decade UK collection of clinical and reference Fusobacterium necrophorum isolates.
Methods: Three hundred and eighty-five F. necrophorum strains (1982-2019) were recovered from storage (-80°C).
Background And Aims: Wilson disease (WD) results in the defective incorporation of copper into ceruloplasmin as well as decreased biliary copper excretion. Secondary iron overload has also been associated with WD; however, the prevalence is currently unknown. This study aims to determine the prevalence of potential secondary iron overload in patients suspected to have WD.
View Article and Find Full Text PDFBackground: We sought to evaluate key performance indicators related to an internally developed and deployed artificial intelligence (AI)-augmented kidney stone composition test system for potential improvements in test quality, efficiency, cost-effectiveness, and staff satisfaction.
Methods: We compared quality, efficiency, staff satisfaction, and financial data from the 6 months after the AI-augmented laboratory test system was deployed (test period) with data from the same 6-month period in the previous year (control period) to determine if AI-augmentation improved key performance indicators of this laboratory test.
Results: In the 6 months following the deployment (test period) of the AI-augmented kidney stone composition test system, 44 830 kidney stones were analyzed.